An Introduction to Google Cloud Platform for Data Engineers

The First Course in a Series for Attaining the Google Certified Data Engineer

COURSE REVIEWS: 
"I want to say thank you for all your courses. They are awesome and you are a great teacher. I passed my GCP Data Engineer exam yesterday. Your courses had a big part in that. Thanks again!"
– Steve D.
"I took a few of your courses and you are an amazing teacher.  Your courses have brought me up to speed on how to create databases and how to interact and handle Data Engineers and Data Scientists.  I will be forever grateful."  –
Tony
"Covering all the stuff I did in Associate Cloud Engineer! All fine." 
– Malachy
"I learned in short time key knowledge."
- Fernando
"It give us an overview of the GCP and it's components theoretically and using the platform."
 - Martha
"Very clear explanations and easy to follow along. This course is very well structured."
–Tanoj
"Great overview and good explanations."
 Christopher
"The course was simple, easy to understand. The demo for every topic helped a lot. You are great teacher and it all came very handy. Thank you so much!"
 – Shefali
"Trainer is patient and has a lot of knowledge about this course. Amazing job."
– Ashley
"Quite good to get very introduced to the Google cloud platform from the zero."
 – Anna
"I enjoyed the course"
– Curtis
"Good intro. I like the pace of the course. The videos were short and too the point."
 – Demayne
"Good and intuitive"
– Tian
"Speech of instructor is clear and understandable it is nice."
–Sulyeman
"I learned a lot in a very short time."
– Fernando
COURSE OVERVIEW 
An Introduction to Google Cloud Platform for Data Engineers
Welcome to
An Introduction to Google Cloud Platform for Data Engineers
. This is the
first course
in a
series
of courses designed to help you attain the coveted
Google Certified Data Engineer.
At this juncture the Google Certified Data Engineer is the 
only real world certification
for
data
and
machine learning engineers.
   
The Harvard Review dubbed the
data scientist
the sexiest job of the 21st century.  It might be the greatest job in the world if you have a
dedicated team of data engineers
at your beckon call otherwise
you’re first week
of work is going to be a
tough one
.   
Most
applied machine learning is
supervised
.  That simply means you use a
data set
to build your
machine learning
or
deep learning
models with.   
In the
real world
data is
messy
,
complicated
and very
difficult
to work with. Another real world issues is working with
data at scale.
Very few companies have the
compute
or
storage
resources to work with
large data sets
. That's where the
Google Cloud Platform
comes in. The
tools
they've built for the cloud are the tools they are using internally. 
This is the
first course
in a
series
of course dedicated to learning the
Google Cloud Platform
and attaining the Google Certified Data Engineer.   
This course will
lay the foundation
for what you’ll need in order to
become a data engineer and pass the exam
. In the course we will cover
all the basics
of the platform and be prepared to move into the more advanced data engineering specific courses. 
Please keep in mind this course alone
will not
give you the knowledge and skills to pass the exam. The course will
lay the foundation
for what you'll need to know before you begin a more intensive study of the services specific to data on the Google Cloud Platform. 
                                                                 **Five Reasons to Take this Course**
1) Google is the World Leader in Machine Learning 
Google knows data and they know big data. They work with some of the largest data sets in the world. They also have one of the largest data science teams on the planet. Companies that know data science know data engineering.  Google has been on the forefront of data exploration for years. 
2) Occam's Razor Approach to Teaching
Less is almost always more.  If you're serious about data engineering as a career you don't need or want your hand held for long periods of time.  You want the core of any subject and then you want to get your hands dirty. My courses are relatively short and to the point. You don't have time for filler and I don't believe in adding it. 
3) Real World Instructor Experience


I've been working with data for over two decades. I've authored books, created applications being used in the real world and have over 30 course on Udemy specific to data. I've worked with over 50 different companies as an employee or consultant. Data has been my life for two decades and all of that has been in the real world.  
4) The Only Data Engineering Certification on the Market
I have to be honest with you. I'm not a huge fan of most mastorial programs for machine learning or data related degrees. There is still quite a gap between what colleges teach and what companies expect.  I believe certifications offer a better path into the real world of data and machine learning. A master's degree might get you the interview but hands on with the product and the certification will get you the job. 
5) Limited Data Engineering Courses
At the time I authored this course there are no other courses on the market that are dedicated to learning the skills you'll need for passing the Google certified data engineer exam.  My courses aren't specific to learning how to pass the exam. I want you to be able to pass the exam but more importantly I want you to be able to apply what you've learned in my courses in order to work with various real world data sets.